A Study on the Overall Economic Risks of a Hypothetical Severe Accident in Nuclear Power Plant Using the Delphi Method

델파이 기법을 이용한 원전사고의 종합적인 경제적 리스크 평가

  • Jang, Han-Ki (Department of Nuclear Engineering, Hanyang University) ;
  • Kim, Joo-Yeon (Department of Nuclear Engineering, Hanyang University) ;
  • Lee, Jai-Ki (Department of Nuclear Engineering, Hanyang University)
  • 장한기 (한양대학교 원자력공학과) ;
  • 김주연 (한양대학교 원자력공학과) ;
  • 이재기 (한양대학교 원자력공학과)
  • Published : 2008.12.30


Potential economic impact of a hypothetical severe accident at a nuclear power plant(Uljin units 3/4) was estimated by applying the Delphi method, which is based on the expert judgements and opinions, in the process of quantifying uncertain factors. For the purpose of this study, it is assumed that the radioactive plume directs the inland direction. Since the economic risk can be divided into direct costs and indirect effects and more uncertainties are involved in the latter, the direct costs were estimated first and the indirect effects were then estimated by applying a weighting factor to the direct cost. The Delphi method however subjects to risk of distortion or discrimination of variables because of the human behavior pattern. A mathematical approach based on the Bayesian inferences was employed for data processing to improve the Delphi results. For this task, a model for data processing was developed. One-dimensional Monte Carlo Analysis was applied to get a distribution of values of the weighting factor. The mean and median values of the weighting factor for the indirect effects appeared to be 2.59 and 2.08, respectively. These values are higher than the value suggested by OECD/NEA, 1.25. Some factors such as small territory and public attitude sensitive to radiation could affect the judgement of panel. Then the parameters of the model for estimating the direct costs were classified as U- and V-types, and two-dimensional Monte Carlo analysis was applied to quantify the overall economic risk. The resulting median of the overall economic risk was about 3.9% of the gross domestic products(GDP) of Korea in 2006. When the cost of electricity loss, the highest direct cost, was not taken into account, the overall economic risk was reduced to 2.2% of GDP. This assessment can be used as a reference for justifying the radiological emergency planning and preparedness.


  1. OECD NEA. Methodologies for Assessing the Economic Consequences of Nuclear Reactor Accidents. 2000;ISBN 92-64-17658-6:11-103
  2. Eeckhoudt L, Schieber C and Schneider T. Risk Aversion and External Cost of a Nuclear Accident. Journal of Environmental Management. 2000;58:109-117 https://doi.org/10.1006/jema.1999.0314
  3. OECD NEA. Nuclear Electricity Generation: What Are the External Costs?. 2003;ISBN 92-64-02153-1:11-72
  4. 한국표준협회. 신인성 관리-제3부: 적용지침-제9절: 기술적 시스템의 리스크 분석. 2002; KS A IEC 60300-3-9:1-23
  5. Ayub BM. Experts, Opinions and Elicitation. In: Elicitation of Expert Opinions for Uncertainty and Risks. 1th ed. Washington D.C. : CRC press. 2001:97-124
  6. 이종성. 교육 심리 시회 연구방법론 충서 연구방법<21> : 델파이 방법. 서울; 교육과학사. 2001:7-67
  7. 이종성. 델파이 예측방법의 베이지안 접근. 연세교육과학. 1984;25:9-19
  8. 이종성, 강계남, 김양분, 강상진, 이은실. 사회과학연구를 위한 통계방법. 제3판. 박영사. 2004:771-780
  9. Spiegelhalter D, Thomas A, Best N, Lunn D. WinBUGS User Manual. Version 1.4. 2003:http://www.mrcbsu.cam.ac.uk/bugs/
  10. Moschandreas DJ and Karuchit S. Scenario-Model-Parameter: A New Method of Cumulative Risk Uncertainty Analysis. Environment International. 2002 Mar.; 2002;28(4):247-261 https://doi.org/10.1016/S0160-4120(02)00025-9
  11. Hoffman FO. Guide for Uncertainty Analysis In Dose and Risk Assessments Related to Environmental Contamination. NCRP. 1996;NCRP Commentary No. 14
  12. U.S. Environment Protection Agency. Risk Assessment Guidance for Superfund: Volume 3-part A, Process for Conducting Probabilistic Risk Assessment. 2001; EPA/540/R-02/002
  13. Cullen AC and Frey HC. Probabilistic Modeling Techniques. In: Probabilistic Techniques in Exposure Assessment: A Handbook for Dealing with Variability and Uncertainty in Models and Input. 1th ed. New York and London : Plenum press. 1999:181-241
  14. Okoli C, Pawlowski SD. The Delphi method as a Research Tool: an Example, Design Considerations and Applications. Information & Management. 2004;42:15-29 https://doi.org/10.1016/j.im.2003.11.002
  15. Jae M. Risk Assessment for Source Terms using PSA Methodology. 2004: iTRS/AR-2004-12
  16. 장한기, 김주연, 이재기. 확률론적 방법을 이용한 원자력발전소 사고시 소외제염비용 경제성 영향 평가. 2007년도 춘계학술발표회. 대한방사선방어학회. 2007:60-61
  17. Health Insurance Review & Assessment Service. 2006 National Health Insurance Statical YearBook. 2006:http://www.hira.or.kr/